Quanterix (QTRX) Restructuring Costs (2022 - 2026)
Quanterix (QTRX) recorded Restructuring Costs of $26.93 million in Q2 2026, up 251.2% from $7.67 million a year earlier.
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Analysis
Quanterix (QTRX) Restructuring Costs (2022 - 2026) Analysis & Trends
On a TTM basis, Quanterix's Restructuring Costs came in at $42.66 million as of Jun 30, 2026, up 456.2% year-over-year; for FY2025, it was $15.73 million.
- Annual Restructuring Costs has a three-year compound annual growth rate of -19.0% (FY2022 to FY2025).
- Across earlier years, Restructuring Costs came in at $1.33 million in FY2023 (-95.5%) and $29.56 million in FY2022.
- The Q2 2026 figure is the highest quarterly Restructuring Costs in data going back to Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Quanterix | 129.00 Mn | -316.83 Mn | 12.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.93 Mn |
| Dec 31, 2025 | 883,000.00 |
| Sep 30, 2025 | 7.17 Mn |
| Jun 30, 2025 | 7.67 Mn |
| Dec 31, 2023 | 1.36 Mn |
| Mar 31, 2023 | -33,000.00 |
| Dec 31, 2022 | 9.01 Mn |
| Sep 30, 2022 | 20.34 Mn |
| Jun 30, 2022 | 207,000.00 |
API Access
Quanterix Restructuring Costs API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=restructuring-costs&ticker=QTRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "QTRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=QTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();